Triple

T1020455
Position Surface form Disambiguated ID Type / Status
Subject loanDepot park E22026 entity
Predicate generalContractor P7138 FINISHED
Object Hunt/Moss
Hunt/Moss is a construction joint venture known for serving as the general contractor on major projects such as Miami’s loanDepot park baseball stadium.
E121698 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hunt/Moss | Statement: [loanDepot park, generalContractor, Hunt/Moss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hunt/Moss
Context triple: [loanDepot park, generalContractor, Hunt/Moss]
  • A. Hunt
    Hunt is a common English surname borne by numerous notable figures across fields such as architecture, politics, sports, and the arts.
  • B. The Hunt
    The Hunt is a BBC nature documentary series that explores the dramatic strategies predators and prey use to survive in the wild.
  • C. Hunter Hunt
    Hunter Hunt is a personal name that may refer to multiple individuals, rather than a single widely recognized public figure.
  • D. The Bushnell
    The Bushnell is a prominent performing arts center in Hartford, Connecticut, known for hosting Broadway tours, concerts, and major cultural events.
  • E. Murphy
    Murphy is a common Irish-origin surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hunt/Moss
Triple: [loanDepot park, generalContractor, Hunt/Moss]
Generated description
Hunt/Moss is a construction joint venture known for serving as the general contractor on major projects such as Miami’s loanDepot park baseball stadium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hunt/Moss
Target entity description: Hunt/Moss is a construction joint venture known for serving as the general contractor on major projects such as Miami’s loanDepot park baseball stadium.
  • A. Hunt
    Hunt is a common English surname borne by numerous notable figures across fields such as architecture, politics, sports, and the arts.
  • B. The Hunt
    The Hunt is a BBC nature documentary series that explores the dramatic strategies predators and prey use to survive in the wild.
  • C. The Bushnell
    The Bushnell is a prominent performing arts center in Hartford, Connecticut, known for hosting Broadway tours, concerts, and major cultural events.
  • D. Murphy
    Murphy is a common Irish-origin surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
  • E. Callahan
    Callahan is a surname most notably associated with American singer-songwriter Bill Callahan, known for his introspective and minimalist folk music.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7dd76b081909ed4d2f7adb6480d completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bb63f14819098f5e32af3b98508 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3de4fbb88190855cf92af51fe70b completed March 7, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_69ac3e45d9e88190bc88d037c00c3ecc completed March 7, 2026, 3:03 p.m.
Created at: March 1, 2026, 7:41 p.m.